Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...
Databricks said on Monday it has raised about $5 billion in funding at a $134 billion valuation, as the data analytics software startup bolsters its balance sheet ‌while keeping options open ‌for a US ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...
Azure SQL Query Store now captures read-only queries, expanding performance visibility beyond transactional workloads DBAs can analyze execution plans and runtime statistics for primary and read-only ...
This solution accelerator provides a unified data foundation with integrated data architecture leveraging Microsoft Fabric, OneLake, Microsoft Purview, and Azure Databricks to deliver a unified, ...
Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...
Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...
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